Research For Vehicle Detection In Intelligent Transport System Based On Video

Vehicle detection and information acquisition based on video is an important subject in the intelligent transportation system. The related technology of digital image processing is a fundamental and central part in it. Vehicle detection system including overall program and software procedure is designed in this paper. The overall program of video detection contains the selection of hardware and software design. The software procedure includes vehicle image acquisition, processing, understanding, etc.Overall program of video detection is put forward based on the functional requirements of intelligent traffic and currently conditions of hardware and software. On the basis of the selection of background difference, software procedure achieves the function of the detection system from image to traffic parameters. In the process, the methods of background extraction and update for traffic vehicle detection are chosen through comparative analysis. Meanwhile, image denoising, binarization, edge detection and morphological processing are deeply studied to meet the reliability and real-time demand.Taking into account the generality and scalability of software, OpenCV and Visual C++are used in the paper as a development platform. The OpenCV based on C/C++ language is more suitable for the development of video-based vehicle detection system, for it is an open computer vision library. Moreover, the OpenCV codes are executed fast in the process.